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Article

Identification of Novel Diagnostic Markers for Malignant Pleural Mesothelioma Using a Reverse Translational Approach Based on a Rare Synchronous Tumor

1
Department of Surgical Pathology, Hokkaido University Hospital, Sapporo 060-8648, Japan
2
Department of Diagnostic Pathology, Faculty of Medicine, Hokkaido University, Sapporo 060-8638, Japan
3
Research Division of Genome Companion Diagnostics, Hokkaido University Hospital, Sapporo 060-8648, Japan
4
Department of Cardiovascular and Thoracic Surgery, Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Japan
5
New Projects Development Division, Toray Industries, Inc., Kamakura 248-8555, Japan
6
Department of Pathology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8551, Japan
7
Pathological Diagnostic Center, Inc., Hiroshima 730-0029, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Renzo Boldorini
Diagnostics 2022, 12(2), 316; https://doi.org/10.3390/diagnostics12020316
Received: 19 December 2021 / Revised: 18 January 2022 / Accepted: 24 January 2022 / Published: 27 January 2022
(This article belongs to the Special Issue Immunohistochemistry in Cancer Diagnoses and Treatments)
Although the routine use of immunohistochemistry has improved the accuracy of histopathologic diagnosis in clinical practice, new methods for discovering novel diagnostic markers are still needed. We sought new diagnostic markers for malignant pleural mesothelioma (MPM) using a reverse translational approach with limited archival tissues from a very rare case. Total RNA extracted from formalin-fixed paraffin-embedded (FFPE) tissues of a synchronous collision tumor consisting of MPM and pulmonary adenocarcinoma (PAC) was employed for gene expression profiling (GEP) analysis. Among the 54 genes selected by GEP analysis, we finally identified the following two candidate MPM marker genes: PHGDH and TRIM29. Immunohistochemical analysis of 48 MM and 20 PAC cases showed that both PHGDH and TRIM29 had sensitivity and specificity almost equivalent to those of calretinin (sensitivity 50% and 46% vs. 63%, and specificity 95% and 100% vs. 100%, respectively). Importantly, of the 23 epithelioid MMs, all 3 calretinin-negative cases were positive for TRIM29. These two markers may be diagnostically useful for immunohistochemical distinction between MPMs and PACs. This successful reverse translational approach based on FFPE samples from one very rare case encourages the further use of such samples for the development of novel diagnostic markers. View Full-Text
Keywords: malignant pleural mesothelioma; gene expression profiling; immunohistochemistry malignant pleural mesothelioma; gene expression profiling; immunohistochemistry
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MDPI and ACS Style

Naka, T.; Hatanaka, Y.; Tabata, Y.; Takasawa, A.; Akiyama, H.; Hida, Y.; Okada, H.; Hatanaka, K.C.; Mitsuhashi, T.; Kushitani, K.; Amatya, V.J.; Takeshima, Y.; Inai, K.; Kaga, K.; Matsuno, Y. Identification of Novel Diagnostic Markers for Malignant Pleural Mesothelioma Using a Reverse Translational Approach Based on a Rare Synchronous Tumor. Diagnostics 2022, 12, 316. https://doi.org/10.3390/diagnostics12020316

AMA Style

Naka T, Hatanaka Y, Tabata Y, Takasawa A, Akiyama H, Hida Y, Okada H, Hatanaka KC, Mitsuhashi T, Kushitani K, Amatya VJ, Takeshima Y, Inai K, Kaga K, Matsuno Y. Identification of Novel Diagnostic Markers for Malignant Pleural Mesothelioma Using a Reverse Translational Approach Based on a Rare Synchronous Tumor. Diagnostics. 2022; 12(2):316. https://doi.org/10.3390/diagnostics12020316

Chicago/Turabian Style

Naka, Tomoaki, Yutaka Hatanaka, Yukiko Tabata, Akira Takasawa, Hideo Akiyama, Yasuhiro Hida, Hiromi Okada, Kanako C. Hatanaka, Tomoko Mitsuhashi, Kei Kushitani, Vishwa J. Amatya, Yukio Takeshima, Kouki Inai, Kichizo Kaga, and Yoshihiro Matsuno. 2022. "Identification of Novel Diagnostic Markers for Malignant Pleural Mesothelioma Using a Reverse Translational Approach Based on a Rare Synchronous Tumor" Diagnostics 12, no. 2: 316. https://doi.org/10.3390/diagnostics12020316

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